Evidence map›Paper›PMID 40384680›Full record

ArticleQuantitative imaging in medicine and surgery2025

Long-term white matter changes in patients who develop severe depression after multiple COVID-19 infections: a 3-6-month study.

Yuanyuan Cui, Yihao Wang, Li Lu, Youhan Zhang, Qingyang Yu, Shuwen Dong, Yajing Wang, Yongying Liu, Guoxing Dong, Jiankun Dai and 3 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yuanyuan Cui *Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Yihao Wang *Department of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Li Lu *Department of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Youhan ZhangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Qingyang YuDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Shuwen DongDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Yajing WangDepartment of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Yongying LiuDepartment of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Guoxing DongDepartment of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Jiankun DaiMR Research, GE Healthcare, Beijing, China.
Yonghai BaiDepartment of Psychology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Yi XiaoDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Shiyuan LiuDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The white matter (WM) of patients who suffer from depression after long-term coronavirus disease 2019 (COVID-19) showed a dynamic change. However, to date, no research on the dynamic change in the WM of patients who develop severe depression after multiple COVID-19 infections has been conducted. This study aimed to evaluate long-term WM changes in patients who experience mild or moderate depression after their first COVID-19 infection followed by severe depression after their second infection. Methods: In total, 27 outpatients who developed severe depression after two COVID-19 infections (the patient group) and 28 outpatients who developed mild or moderate depression after one COVID-19 infection (the control group) were included in this prospective study. Psychological assessments for depression, anxiety, and insomnia were conducted 3-6 months after infection. Diffusion tensor imaging was performed. The fractional anisotropy (FA), mean diffusivity, axial diffusivity, and radial diffusivity were calculated and compared between the groups. The correlations between the psychological scores and image parameters were analyzed. Results: There was no difference between the two groups in terms of age (51.857±2.770 Conclusions: The present study revealed impairments in the WM integrity of patients who developed severe depression within 3-6 months of repeated COVID-19 infections. The findings revealed the mechanism of COVID-19-related depression and underscored the importance of psychological intervention after COVID-19 infection.

Indexed as

Coronavirus disease 2019 (COVID-19)depressiondiffusion tensor imaging (DTI)magnetic resonance imaging (MRI)white matter (WM)

Identifiers

PMID40384680
PMCPMC12084683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.